Pet dogs know when you intend to give them a treat, even if you drop it where they can't get to it Dogs can understand when humans mean well, even if they don't get what they want from us. Prior to this work, the ability to distinguish between a human being unwilling or unable to perform a task had only been found in non-human primates. The close social bond between humans and canines is well established, but researchers have a limited understanding of if and how dogs comprehend human intent. To see if pet dogs can distinguish between intentional and accidental actions by strangers, Christoph Völter at the University of Veterinary Medicine Vienna in Austria and his colleagues ran tests with humans offering dogs food while the animals' body movements were tracked using eight cameras. Each dog and human were separated by a transparent plastic panel with holes that a slice of sausage could be passed through.

In the bustling city of Vienna, there lived a young boy named Wolfgang Amadeus Mozart. From a very young age, it was clear that he was a prodigy, gifted in music beyond his years. His father, Leopold, was a musician himself and recognized Wolfgang's talents early on, dedicating himself to nurturing and developing his son's abilities. Leopold took Wolfgang on tours throughout Europe, where they performed for royalty and commoners alike, and the young Mozart wowed audiences with his incredible musicianship. As he grew older, Wolfgang began to compose his own music and soon became one of the most sought-after composers in Europe.

As the IT of the REWE Group Austria, we work together with our more than 500 employees to develop innovative IT products and services for all our corporate divisions in Austria and abroad, setting the tone for modern trade. In our newly formed agile "Data Platform" team, you will work on the one-stop-shop for providing, searching, and consuming business relevant data. Your focus as an IT expert is on providing a curated, domain-agnostic tool-set into a simple-to-use environment to enable its customers to provide, search & consume data in a standardized, efficient and decentralized way. No matter where you are in your career, we have a path for you. We're proud to employ great people who are passionate about their jobs.

AlphaTensor was designed to perform matrix multiplications, but the same approach could be used to tackle other mathematical challenges.Credit: DeepMind An artificial intelligence (AI) developed by machine-learning company DeepMind in London has tackled a type of calculation called matrix multiplication. The system -- called AlphaTensor -- leverages the skills that DeepMind's game-playing AIs use to beat human players at games such as Go and chess. Matrix multiplication is a widely used mathematical technique that involves multiplying numbers arranged in grids, or matrices, that might represent sets of pixels in images, air conditions in a weather model or the internal workings of an artificial neural network. AlphaTensor broke ground by finding shortcuts to solve these problems with fewer steps (A. The same general approach could have applications in other kinds of mathematical operation, its developers say, such as decomposing complex waves or other mathematical objects into simpler ones.